Go back
Stochastic Systems Uncertainty Quantification And Propagation(1st Edition)
Authors:
Mircea Grigoriu
Cover Type:Hardcover
Condition:Used
In Stock
Shipment time
Expected shipping within 2 DaysPopular items with books
Access to 30 Million+ solutions
Free ✝
Ask 50 Questions from expert
AI-Powered Answers
✝ 7 days-trial
Total Price:
$0
List Price: $197.91
Savings: $197.91(100%)
Solution Manual Includes
Access to 30 Million+ solutions
Ask 50 Questions from expert
AI-Powered Answers
24/7 Tutor Help
Detailed solutions for Stochastic Systems Uncertainty Quantification And Propagation
Price:
$9.99
/month
Book details
ISBN: 1447159489, 978-1447159483
Book publisher: Springer
Get your hands on the best-selling book Stochastic Systems Uncertainty Quantification And Propagation 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.
Book Summary: Uncertainty is an inherent feature of both properties of physical systems and the inputs to these systems that needs to be quantified for cost effective and reliable designs. The states of these systems satisfy equations with random entries, referred to as stochastic equations, so that they are random functions of time and/or space. The solution of stochastic equations poses notable technical difficulties that are frequently circumvented by heuristic assumptions at the expense of accuracy and rigor. The main objective of Stochastic Systems is to promoting the development of accurate and efficient methods for solving stochastic equations and to foster interactions between engineers, scientists, and mathematicians. To achieve these objectives Stochastic Systems presents: A clear and brief review of essential concepts on probability theory, random functions, stochastic calculus, Monte Carlo simulation, and functional analysis Probabilistic models for random variables and functions needed to formulate stochastic equations describing realistic problems in engineering and applied sciences Practical methods for quantifying the uncertain parameters in the definition of stochastic equations, solving approximately these equations, and assessing the accuracy of approximate solutions Stochastic Systems provides key information for researchers, graduate students, and engineers who are interested in the formulation and solution of stochastic problems encountered in a broad range of disciplines. Numerous examples are used to clarify and illustrate theoretical concepts and methods for solving stochastic equations. The extensive bibliography and index at the end of the book constitute an ideal resource for both theoreticians and practitioners.
Customers also bought these books
Frequently Bought Together
The Box How The Shipping Container Made The World Smaller And The World Economy Bigger - Later Printing Edition
Marc Levinson
ISBN: 0691123241, 978-0691123240
$0 $15.35
Intermediate Statistics Using SPSS - 1st Edition
Herschel Knapp
ISBN: 1506377432, 978-1506377438
$0 $86.55
Lectures Problems And Solutions For Ordinary Differential Equations - 2nd Edition
Yuefan Deng
ISBN: 9813226137, 978-9813226135
$0 $45.99
The Little Book Of Restorative Justice Program Design Using Participatory Action Research To Build And Assess RJ Initiatives -
Alisa Del Tufo
ISBN: 1680998773, 978-1680998771
$0 $7.99
Top Reviews for Books
Keith lebanowski
( 4 )
"Delivery was considerably fast, and the book I received was in a good condition."